Job description
We are seeking a Senior Meteorologist specializing in numerical weather prediction to join our analytics team in Denver. You will translate complex atmospheric science into actionable forecasts for commercial, aviation, and energy clients. The ideal candidate combines deep meteorological knowledge with practical software skills to advance modeling, analysis, and visualization capabilities.
As part of our multidisciplinary team, you will drive NWP model evaluation, ensemble forecasting strategies, and operational guidance while communicating results to stakeholders with clarity and impact.
Responsibility
- Develop and evaluate numerical weather prediction models and ensembles to improve forecast accuracy for diverse clients.
- Design and maintain data pipelines, quality control, and visualization dashboards for forecast products.
- Conduct model verification, hindcast and nowcast studies, and statistical post processing of forecasts.
- Collaborate with data scientists, meteorologists, and engineers to translate science into practical tools for operations.
- Produce concise, decision ready forecast products and client facing briefings.
- Communicate complex results to nontechnical audiences and contribute to whitepapers and internal guidelines.
- Mentor junior staff and participate in code reviews and best practices for reproducible science.
Qualification
- PhD or MSc in Meteorology or Atmospheric Sciences; PhD preferred; equivalent industry experience considered.
- 5+ years in operational or research meteorology with emphasis on NWP and data assimilation.
- Strong programming experience in Python and R; MATLAB; Fortran experience is a plus.
- Experience with WRF or other NWP models; familiarity with Linux and Git.
- Ability to translate complex science into actionable forecasts and client facing outputs.
- Experience with geospatial data formats and visualization of gridded data.
- Excellent communication, collaboration, and project management skills.